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## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The Skills Manager gives operators a reusable skill layer, but iteration still required manual edits, ad hoc prompts, and indirect run inspection. > - Skill authors need a focused workflow for editing skill files, saving representative test inputs, and running those inputs through an agent without exposing harness tasks as normal company work. > - The backend therefore needs durable test inputs, reusable run templates, hidden harness issues, scoped run execution, retention metadata, and read-containment rules around hidden work. > - The frontend needs a three-pane Studio that keeps skill files, saved inputs/templates, and run output/history visible together while preserving the existing design system and token rules. > - This pull request ships that Skill Studio surface end to end: database migrations, shared contracts, server APIs/services, hidden harness execution behavior, UI routes/components, and focused tests. > - The benefit is faster and safer skill iteration, with inspectable outputs and fewer ways for internal harness work to leak into normal task lists, costs, or adjacent read APIs. ## Linked Issues or Issue Description No public GitHub issue exists for this feature. Feature request summary: - Problem: Skill authors need to edit and test company skills in one place instead of switching between the skill detail page, task creation, run output, and manual prompt history. - Proposed solution: Add a Skill Studio workbench with saved inputs, reusable templates, hidden sandboxed test runs, live run status, output inspection, run history, rerun/delete controls, and frontmatter-aware editing. - Expected users: Paperclip operators and agent-company maintainers who create, fork, import, and tune skills. - Related public PRs: Supersedes #9205, which was replaced so the public PR branch name follows contributor policy. - Duplicate search: searched public GitHub issues and PRs for "Skill Studio"; no other active public issue or PR directly covers this feature. ## What Changed - Added database migrations for Skill Studio test inputs, test runs, test run retention, and reusable run templates. - Added shared Skill Studio types, validators, route helpers, frontmatter utilities, and status handling. - Added server services and routes for saved inputs, test runs, templates, reruns, terminal-run deletion, hidden harness issue execution, and run-detail hydration. - Strengthened hidden-issue read containment across issue-adjacent routes and cost rollups used by skill test harness work. - Added the Skill Studio UI with skill file editing, frontmatter editing, saved inputs, templates, run creation/cancel/rerun/delete flows, output rendering, history, route support, and responsive pane behavior. - Added focused backend, shared, and UI tests for the new APIs, routing logic, editor/run behavior, hidden-issue containment, and migration safety. - Rebased onto current `master`, removed the generated lockfile diff from the PR, and verified no workflow files are changed. ## Verification - [x] `pnpm --filter @paperclipai/db check:migrations` - [x] `pnpm check:token-gates` - [x] `pnpm exec vitest run server/src/__tests__/company-skills-service.test.ts server/src/__tests__/company-skills-routes.test.ts server/src/__tests__/company-skill-test-runs-service.test.ts ui/src/lib/skill-studio.test.ts ui/src/pages/SkillStudio.test.tsx` — 5 files, 132 tests passed - [x] Greptile review on the latest PR head - [x] GitHub PR checks on the latest PR head ## Risks - Medium risk because this is a broad feature touching database schema, server orchestration, issue visibility, and a large UI surface. - Hidden harness issue containment is security-sensitive; this PR includes regression coverage for adjacent read paths and cost rollups. - The new migrations are additive and use idempotent guards where applicable, but deployed databases that previously tested draft migration numbers should still be checked carefully. - The UI depends on a new resizable panels package in `ui/package.json`; the lockfile is intentionally left to repository automation. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used OpenAI Codex, GPT-5 coding agent with shell, git, and GitHub CLI tool use. Earlier feature commits include assistance from other Paperclip coding agents; this PR preparation, rebase, cleanup commit, and PR body were completed by OpenAI Codex in a Paperclip worktree. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
512 lines
21 KiB
TypeScript
512 lines
21 KiB
TypeScript
import { and, desc, eq, gte, isNotNull, isNull, lt, lte, sql } from "drizzle-orm";
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import { alias } from "drizzle-orm/pg-core";
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import type { Db } from "@paperclipai/db";
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import { activityLog, agents, companies, costEvents, heartbeatRuns, issues, projects } from "@paperclipai/db";
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import { notFound, unprocessable } from "../errors.js";
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import { budgetService, type BudgetServiceHooks } from "./budgets.js";
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import { visibleIssueCondition } from "./issue-visibility.js";
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export interface CostDateRange {
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from?: Date;
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to?: Date;
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}
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const METERED_BILLING_TYPE = "metered_api";
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const SUBSCRIPTION_BILLING_TYPES = ["subscription_included", "subscription_overage"] as const;
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function sumAsNumber(column: typeof costEvents.costCents | typeof costEvents.inputTokens | typeof costEvents.cachedInputTokens | typeof costEvents.outputTokens) {
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return sql<number>`coalesce(sum(${column}), 0)::double precision`;
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}
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function currentUtcMonthWindow(now = new Date()) {
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const year = now.getUTCFullYear();
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const month = now.getUTCMonth();
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return {
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start: new Date(Date.UTC(year, month, 1, 0, 0, 0, 0)),
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end: new Date(Date.UTC(year, month + 1, 1, 0, 0, 0, 0)),
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};
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}
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async function getMonthlySpendTotal(
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db: Db,
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scope: { companyId: string; agentId?: string | null },
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) {
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const { start, end } = currentUtcMonthWindow();
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const conditions = [
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eq(costEvents.companyId, scope.companyId),
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gte(costEvents.occurredAt, start),
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lt(costEvents.occurredAt, end),
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];
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if (scope.agentId) {
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conditions.push(eq(costEvents.agentId, scope.agentId));
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}
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const [row] = await db
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.select({
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total: sumAsNumber(costEvents.costCents),
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})
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.from(costEvents)
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.where(and(...conditions));
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return Number(row?.total ?? 0);
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}
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export function costService(db: Db, budgetHooks: BudgetServiceHooks = {}) {
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const budgets = budgetService(db, budgetHooks);
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return {
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createEvent: async (companyId: string, data: Omit<typeof costEvents.$inferInsert, "companyId">) => {
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const agent = await db
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.select()
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.from(agents)
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.where(eq(agents.id, data.agentId))
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.then((rows) => rows[0] ?? null);
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if (!agent) throw notFound("Agent not found");
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if (agent.companyId !== companyId) {
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throw unprocessable("Agent does not belong to company");
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}
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const event = await db
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.insert(costEvents)
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.values({
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...data,
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companyId,
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biller: data.biller ?? data.provider,
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billingType: data.billingType ?? "unknown",
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cachedInputTokens: data.cachedInputTokens ?? 0,
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})
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.returning()
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.then((rows) => rows[0]);
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const [agentMonthSpend, companyMonthSpend] = await Promise.all([
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getMonthlySpendTotal(db, { companyId, agentId: event.agentId }),
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getMonthlySpendTotal(db, { companyId }),
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]);
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await db
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.update(agents)
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.set({
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spentMonthlyCents: agentMonthSpend,
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updatedAt: new Date(),
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})
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.where(eq(agents.id, event.agentId));
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await db
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.update(companies)
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.set({
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spentMonthlyCents: companyMonthSpend,
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updatedAt: new Date(),
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})
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.where(eq(companies.id, companyId));
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await budgets.evaluateCostEvent(event);
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return event;
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},
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summary: async (companyId: string, range?: CostDateRange) => {
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const company = await db
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.select()
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.from(companies)
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.where(eq(companies.id, companyId))
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.then((rows) => rows[0] ?? null);
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if (!company) throw notFound("Company not found");
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const conditions: ReturnType<typeof eq>[] = [eq(costEvents.companyId, companyId)];
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if (range?.from) conditions.push(gte(costEvents.occurredAt, range.from));
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if (range?.to) conditions.push(lte(costEvents.occurredAt, range.to));
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const [{ total }] = await db
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.select({
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total: sumAsNumber(costEvents.costCents),
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})
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.from(costEvents)
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.where(and(...conditions));
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const spendCents = Number(total);
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const utilization =
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company.budgetMonthlyCents > 0
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? (spendCents / company.budgetMonthlyCents) * 100
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: 0;
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return {
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companyId,
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spendCents,
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budgetCents: company.budgetMonthlyCents,
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utilizationPercent: Number(utilization.toFixed(2)),
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};
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},
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issueTreeSummary: async (
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companyId: string,
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issueId: string,
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options: { excludeRoot?: boolean } = {},
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) => {
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// Callers must resolve and authorize a visible root issue before invoking this.
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// The route does that so zero counts are not mistaken for a missing root.
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const childIssues = alias(issues, "child");
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// The seed of the recursive CTE: when excludeRoot is true, start from
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// the direct children so the root issue itself is not counted.
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const cteSeed = options.excludeRoot
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? sql`
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SELECT ${issues.id}
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FROM ${issues}
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WHERE ${issues.companyId} = ${companyId}
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AND ${issues.parentId} = ${issueId}
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AND ${issues.hiddenAt} IS NULL
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AND ${issues.harnessKind} IS NULL
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`
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: sql`
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SELECT ${issues.id}
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FROM ${issues}
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WHERE ${issues.companyId} = ${companyId}
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AND ${issues.id} = ${issueId}
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AND ${issues.hiddenAt} IS NULL
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AND ${issues.harnessKind} IS NULL
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`;
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const cteSeedText = options.excludeRoot
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? sql`
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SELECT (${issues.id})::text AS id
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FROM ${issues}
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WHERE ${issues.companyId} = ${companyId}
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AND ${issues.parentId} = ${issueId}
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AND ${issues.hiddenAt} IS NULL
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AND ${issues.harnessKind} IS NULL
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`
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: sql`
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SELECT (${issues.id})::text AS id
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FROM ${issues}
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WHERE ${issues.companyId} = ${companyId}
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AND ${issues.id} = ${issueId}
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AND ${issues.hiddenAt} IS NULL
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AND ${issues.harnessKind} IS NULL
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`;
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const issueTreeCondition = sql<boolean>`
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${issues.id} IN (
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WITH RECURSIVE issue_tree(id) AS (
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${cteSeed}
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UNION ALL
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SELECT ${childIssues.id}
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FROM ${issues} ${childIssues}
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JOIN issue_tree ON ${childIssues.parentId} = issue_tree.id
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WHERE ${childIssues.companyId} = ${companyId}
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AND ${childIssues.hiddenAt} IS NULL
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AND ${childIssues.harnessKind} IS NULL
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)
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SELECT id FROM issue_tree
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)
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`;
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const runSummarySql = sql`
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WITH RECURSIVE issue_tree(id) AS (
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${cteSeedText}
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UNION ALL
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SELECT (${childIssues.id})::text
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FROM ${issues} ${childIssues}
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JOIN issue_tree ON (${childIssues.parentId})::text = issue_tree.id
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WHERE ${childIssues.companyId} = ${companyId}
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AND ${childIssues.hiddenAt} IS NULL
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AND ${childIssues.harnessKind} IS NULL
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)
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SELECT
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count(distinct ${heartbeatRuns.id})::int AS "runCount",
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coalesce(sum(extract(epoch from (coalesce(${heartbeatRuns.finishedAt}, now()) - ${heartbeatRuns.startedAt})) * 1000), 0)::double precision AS "runtimeMs"
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FROM ${heartbeatRuns}
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WHERE ${heartbeatRuns.companyId} = ${companyId}
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AND ${heartbeatRuns.startedAt} IS NOT NULL
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AND (
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${heartbeatRuns.contextSnapshot} ->> 'issueId' IN (SELECT id FROM issue_tree)
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OR EXISTS (
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SELECT 1
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FROM ${activityLog}
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JOIN issue_tree ON ${activityLog.entityId} = issue_tree.id
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WHERE ${activityLog.companyId} = ${companyId}
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AND ${activityLog.entityType} = 'issue'
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AND ${activityLog.runId} = ${heartbeatRuns.id}
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)
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)
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`;
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// Run cost-event aggregation and run-duration aggregation in parallel.
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// They're separate queries because cost_events fan out per-event and
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// joining heartbeat_runs through them would double-count run durations.
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const [costRowResult, runRowResult] = await Promise.all([
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db
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.select({
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issueCount: sql<number>`count(distinct ${issues.id})::int`,
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costCents: sumAsNumber(costEvents.costCents),
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inputTokens: sumAsNumber(costEvents.inputTokens),
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cachedInputTokens: sumAsNumber(costEvents.cachedInputTokens),
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outputTokens: sumAsNumber(costEvents.outputTokens),
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})
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.from(issues)
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.leftJoin(
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costEvents,
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and(
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eq(costEvents.companyId, companyId),
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eq(costEvents.issueId, issues.id),
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),
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)
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.where(
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and(
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eq(issues.companyId, companyId),
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visibleIssueCondition(),
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issueTreeCondition,
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),
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),
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db.execute(runSummarySql),
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]);
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const costRow = costRowResult[0];
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const runRow = Array.isArray(runRowResult)
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? (runRowResult[0] as { runCount?: number | string | null; runtimeMs?: number | string | null } | undefined)
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: undefined;
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return {
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issueId,
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issueCount: Number(costRow?.issueCount ?? 0),
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includeDescendants: true,
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costCents: Number(costRow?.costCents ?? 0),
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inputTokens: Number(costRow?.inputTokens ?? 0),
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cachedInputTokens: Number(costRow?.cachedInputTokens ?? 0),
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outputTokens: Number(costRow?.outputTokens ?? 0),
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runCount: Number(runRow?.runCount ?? 0),
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runtimeMs: Number(runRow?.runtimeMs ?? 0),
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};
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},
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byAgent: async (companyId: string, range?: CostDateRange) => {
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const conditions: ReturnType<typeof eq>[] = [eq(costEvents.companyId, companyId)];
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if (range?.from) conditions.push(gte(costEvents.occurredAt, range.from));
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if (range?.to) conditions.push(lte(costEvents.occurredAt, range.to));
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return db
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.select({
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agentId: costEvents.agentId,
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agentName: agents.name,
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agentStatus: agents.status,
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costCents: sumAsNumber(costEvents.costCents),
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inputTokens: sumAsNumber(costEvents.inputTokens),
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cachedInputTokens: sumAsNumber(costEvents.cachedInputTokens),
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outputTokens: sumAsNumber(costEvents.outputTokens),
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apiRunCount:
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sql<number>`count(distinct case when ${costEvents.billingType} = ${METERED_BILLING_TYPE} then ${costEvents.heartbeatRunId} end)::int`,
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subscriptionRunCount:
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sql<number>`count(distinct case when ${costEvents.billingType} in (${sql.join(SUBSCRIPTION_BILLING_TYPES.map((value) => sql`${value}`), sql`, `)}) then ${costEvents.heartbeatRunId} end)::int`,
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subscriptionCachedInputTokens:
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sql<number>`coalesce(sum(case when ${costEvents.billingType} in (${sql.join(SUBSCRIPTION_BILLING_TYPES.map((value) => sql`${value}`), sql`, `)}) then ${costEvents.cachedInputTokens} else 0 end), 0)::double precision`,
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subscriptionInputTokens:
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sql<number>`coalesce(sum(case when ${costEvents.billingType} in (${sql.join(SUBSCRIPTION_BILLING_TYPES.map((value) => sql`${value}`), sql`, `)}) then ${costEvents.inputTokens} else 0 end), 0)::double precision`,
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subscriptionOutputTokens:
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sql<number>`coalesce(sum(case when ${costEvents.billingType} in (${sql.join(SUBSCRIPTION_BILLING_TYPES.map((value) => sql`${value}`), sql`, `)}) then ${costEvents.outputTokens} else 0 end), 0)::double precision`,
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})
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.from(costEvents)
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.leftJoin(agents, eq(costEvents.agentId, agents.id))
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.where(and(...conditions))
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.groupBy(costEvents.agentId, agents.name, agents.status)
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.orderBy(desc(sumAsNumber(costEvents.costCents)));
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},
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byProvider: async (companyId: string, range?: CostDateRange) => {
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const conditions: ReturnType<typeof eq>[] = [eq(costEvents.companyId, companyId)];
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if (range?.from) conditions.push(gte(costEvents.occurredAt, range.from));
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if (range?.to) conditions.push(lte(costEvents.occurredAt, range.to));
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return db
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.select({
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provider: costEvents.provider,
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biller: costEvents.biller,
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billingType: costEvents.billingType,
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model: costEvents.model,
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costCents: sumAsNumber(costEvents.costCents),
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inputTokens: sumAsNumber(costEvents.inputTokens),
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cachedInputTokens: sumAsNumber(costEvents.cachedInputTokens),
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outputTokens: sumAsNumber(costEvents.outputTokens),
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apiRunCount:
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sql<number>`count(distinct case when ${costEvents.billingType} = ${METERED_BILLING_TYPE} then ${costEvents.heartbeatRunId} end)::int`,
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subscriptionRunCount:
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sql<number>`count(distinct case when ${costEvents.billingType} in (${sql.join(SUBSCRIPTION_BILLING_TYPES.map((value) => sql`${value}`), sql`, `)}) then ${costEvents.heartbeatRunId} end)::int`,
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subscriptionCachedInputTokens:
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sql<number>`coalesce(sum(case when ${costEvents.billingType} in (${sql.join(SUBSCRIPTION_BILLING_TYPES.map((value) => sql`${value}`), sql`, `)}) then ${costEvents.cachedInputTokens} else 0 end), 0)::double precision`,
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subscriptionInputTokens:
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sql<number>`coalesce(sum(case when ${costEvents.billingType} in (${sql.join(SUBSCRIPTION_BILLING_TYPES.map((value) => sql`${value}`), sql`, `)}) then ${costEvents.inputTokens} else 0 end), 0)::double precision`,
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subscriptionOutputTokens:
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sql<number>`coalesce(sum(case when ${costEvents.billingType} in (${sql.join(SUBSCRIPTION_BILLING_TYPES.map((value) => sql`${value}`), sql`, `)}) then ${costEvents.outputTokens} else 0 end), 0)::double precision`,
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})
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.from(costEvents)
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.where(and(...conditions))
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.groupBy(costEvents.provider, costEvents.biller, costEvents.billingType, costEvents.model)
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.orderBy(desc(sumAsNumber(costEvents.costCents)));
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},
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byBiller: async (companyId: string, range?: CostDateRange) => {
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const conditions: ReturnType<typeof eq>[] = [eq(costEvents.companyId, companyId)];
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if (range?.from) conditions.push(gte(costEvents.occurredAt, range.from));
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if (range?.to) conditions.push(lte(costEvents.occurredAt, range.to));
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return db
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.select({
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biller: costEvents.biller,
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costCents: sumAsNumber(costEvents.costCents),
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inputTokens: sumAsNumber(costEvents.inputTokens),
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cachedInputTokens: sumAsNumber(costEvents.cachedInputTokens),
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outputTokens: sumAsNumber(costEvents.outputTokens),
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apiRunCount:
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sql<number>`count(distinct case when ${costEvents.billingType} = ${METERED_BILLING_TYPE} then ${costEvents.heartbeatRunId} end)::int`,
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subscriptionRunCount:
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sql<number>`count(distinct case when ${costEvents.billingType} in (${sql.join(SUBSCRIPTION_BILLING_TYPES.map((value) => sql`${value}`), sql`, `)}) then ${costEvents.heartbeatRunId} end)::int`,
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subscriptionCachedInputTokens:
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sql<number>`coalesce(sum(case when ${costEvents.billingType} in (${sql.join(SUBSCRIPTION_BILLING_TYPES.map((value) => sql`${value}`), sql`, `)}) then ${costEvents.cachedInputTokens} else 0 end), 0)::double precision`,
|
|
subscriptionInputTokens:
|
|
sql<number>`coalesce(sum(case when ${costEvents.billingType} in (${sql.join(SUBSCRIPTION_BILLING_TYPES.map((value) => sql`${value}`), sql`, `)}) then ${costEvents.inputTokens} else 0 end), 0)::double precision`,
|
|
subscriptionOutputTokens:
|
|
sql<number>`coalesce(sum(case when ${costEvents.billingType} in (${sql.join(SUBSCRIPTION_BILLING_TYPES.map((value) => sql`${value}`), sql`, `)}) then ${costEvents.outputTokens} else 0 end), 0)::double precision`,
|
|
providerCount: sql<number>`count(distinct ${costEvents.provider})::int`,
|
|
modelCount: sql<number>`count(distinct ${costEvents.model})::int`,
|
|
})
|
|
.from(costEvents)
|
|
.where(and(...conditions))
|
|
.groupBy(costEvents.biller)
|
|
.orderBy(desc(sumAsNumber(costEvents.costCents)));
|
|
},
|
|
|
|
/**
|
|
* aggregates cost_events by provider for each of three rolling windows:
|
|
* last 5 hours, last 24 hours, last 7 days.
|
|
* purely internal consumption data, no external rate-limit sources.
|
|
*/
|
|
windowSpend: async (companyId: string) => {
|
|
const windows = [
|
|
{ label: "5h", hours: 5 },
|
|
{ label: "24h", hours: 24 },
|
|
{ label: "7d", hours: 168 },
|
|
] as const;
|
|
|
|
const results = await Promise.all(
|
|
windows.map(async ({ label, hours }) => {
|
|
const since = new Date(Date.now() - hours * 60 * 60 * 1000);
|
|
const rows = await db
|
|
.select({
|
|
provider: costEvents.provider,
|
|
biller: sql<string>`case when count(distinct ${costEvents.biller}) = 1 then min(${costEvents.biller}) else 'mixed' end`,
|
|
costCents: sumAsNumber(costEvents.costCents),
|
|
inputTokens: sumAsNumber(costEvents.inputTokens),
|
|
cachedInputTokens: sumAsNumber(costEvents.cachedInputTokens),
|
|
outputTokens: sumAsNumber(costEvents.outputTokens),
|
|
})
|
|
.from(costEvents)
|
|
.where(
|
|
and(
|
|
eq(costEvents.companyId, companyId),
|
|
gte(costEvents.occurredAt, since),
|
|
),
|
|
)
|
|
.groupBy(costEvents.provider)
|
|
.orderBy(desc(sumAsNumber(costEvents.costCents)));
|
|
|
|
return rows.map((row) => ({
|
|
provider: row.provider,
|
|
biller: row.biller,
|
|
window: label as string,
|
|
windowHours: hours,
|
|
costCents: row.costCents,
|
|
inputTokens: row.inputTokens,
|
|
cachedInputTokens: row.cachedInputTokens,
|
|
outputTokens: row.outputTokens,
|
|
}));
|
|
}),
|
|
);
|
|
|
|
return results.flat();
|
|
},
|
|
|
|
byAgentModel: async (companyId: string, range?: CostDateRange) => {
|
|
const conditions: ReturnType<typeof eq>[] = [eq(costEvents.companyId, companyId)];
|
|
if (range?.from) conditions.push(gte(costEvents.occurredAt, range.from));
|
|
if (range?.to) conditions.push(lte(costEvents.occurredAt, range.to));
|
|
|
|
// single query: group by agent + provider + model.
|
|
// the (companyId, agentId, occurredAt) composite index covers this well.
|
|
// order by provider + model for stable db-level ordering; cost-desc sort
|
|
// within each agent's sub-rows is done client-side in the ui memo.
|
|
return db
|
|
.select({
|
|
agentId: costEvents.agentId,
|
|
agentName: agents.name,
|
|
provider: costEvents.provider,
|
|
biller: costEvents.biller,
|
|
billingType: costEvents.billingType,
|
|
model: costEvents.model,
|
|
costCents: sumAsNumber(costEvents.costCents),
|
|
inputTokens: sumAsNumber(costEvents.inputTokens),
|
|
cachedInputTokens: sumAsNumber(costEvents.cachedInputTokens),
|
|
outputTokens: sumAsNumber(costEvents.outputTokens),
|
|
})
|
|
.from(costEvents)
|
|
.leftJoin(agents, eq(costEvents.agentId, agents.id))
|
|
.where(and(...conditions))
|
|
.groupBy(
|
|
costEvents.agentId,
|
|
agents.name,
|
|
costEvents.provider,
|
|
costEvents.biller,
|
|
costEvents.billingType,
|
|
costEvents.model,
|
|
)
|
|
.orderBy(costEvents.provider, costEvents.biller, costEvents.billingType, costEvents.model);
|
|
},
|
|
|
|
byProject: async (companyId: string, range?: CostDateRange) => {
|
|
const issueIdAsText = sql<string>`${issues.id}::text`;
|
|
const runProjectLinks = db
|
|
.selectDistinctOn([activityLog.runId, issues.projectId], {
|
|
runId: activityLog.runId,
|
|
projectId: issues.projectId,
|
|
})
|
|
.from(activityLog)
|
|
.innerJoin(
|
|
issues,
|
|
and(
|
|
eq(activityLog.entityType, "issue"),
|
|
eq(activityLog.entityId, issueIdAsText),
|
|
),
|
|
)
|
|
.where(
|
|
and(
|
|
eq(activityLog.companyId, companyId),
|
|
eq(issues.companyId, companyId),
|
|
isNotNull(activityLog.runId),
|
|
isNotNull(issues.projectId),
|
|
),
|
|
)
|
|
.orderBy(activityLog.runId, issues.projectId, desc(activityLog.createdAt))
|
|
.as("run_project_links");
|
|
|
|
const effectiveProjectId = sql<string | null>`coalesce(${costEvents.projectId}, ${runProjectLinks.projectId})`;
|
|
const conditions: ReturnType<typeof eq>[] = [eq(costEvents.companyId, companyId)];
|
|
if (range?.from) conditions.push(gte(costEvents.occurredAt, range.from));
|
|
if (range?.to) conditions.push(lte(costEvents.occurredAt, range.to));
|
|
|
|
const costCentsExpr = sumAsNumber(costEvents.costCents);
|
|
|
|
return db
|
|
.select({
|
|
projectId: effectiveProjectId,
|
|
projectName: projects.name,
|
|
costCents: costCentsExpr,
|
|
inputTokens: sumAsNumber(costEvents.inputTokens),
|
|
cachedInputTokens: sumAsNumber(costEvents.cachedInputTokens),
|
|
outputTokens: sumAsNumber(costEvents.outputTokens),
|
|
})
|
|
.from(costEvents)
|
|
.leftJoin(runProjectLinks, eq(costEvents.heartbeatRunId, runProjectLinks.runId))
|
|
.innerJoin(projects, sql`${projects.id} = ${effectiveProjectId}`)
|
|
.where(and(...conditions, sql`${effectiveProjectId} is not null`))
|
|
.groupBy(effectiveProjectId, projects.name)
|
|
.orderBy(desc(costCentsExpr));
|
|
},
|
|
};
|
|
}
|